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Python Developer

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Onsite

Python Developer

InfoBeans

Python Developer

Skills

SQL QueriesBig DataDjangoPythonDatabricksData AnalysisPySparkAzure

14 days ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

5 October 2026

What they need


Job Title: Python Developer

Experience Level: 7 - 15 years Plus

Job Overview: We are seeking an experienced Python Developer to join our team. The ideal candidate will have a strong background in backend development, frontend development, cloud technologies, and big data processing. This role involves leading technical projects, mentoring junior developers, and ensuring the delivery of high-quality solutions.

Responsibilities:

  • Lead the development of backend micro services using Django.
  • Design and implement scalable and secure APIs.
  • Integrate Azure Cloud services for application deployment and management.
  • Utilize Azure Databricks for big data processing and analytics.
  • Implement data processing pipelines using PySpark.
  • Collaborate with front-end developers, product managers, and other stakeholders to deliver comprehensive solutions.
  • Conduct code reviews and ensure adherence to best practices.
  • Mentor and guide junior developers.
  • Optimize database performance and manage data storage solutions.
  • Ensure high performance and security standards for applications.
  • Participate in architecture design and technical decision-making.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Experience with backend development.
  • Experience with Django.
  • Proven experience with Azure Cloud services.
  • Experience with Azure Databricks and PySpark.
  • Strong understanding of RESTful APIs and web services.
  • Excellent communication and problem-solving skills.
  • Familiarity with Agile methodologies.
  • Experience with database management (SQL and NoSQL).

Skills: Django, Python, Azure Cloud, Azure Databricks, Delta Lake and Delta tables, PySpark, SQL/NoSQL databases, RESTful APIs, Git, and Agile methodologies

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